Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals.

The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.

Features a pre-feasibility assessment of a solar system by data visualization
Details the technical parameters of a solar system by probability and sampling techniques
Analyzes the relationship between different parameters of a solar system

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Yes, you can access Decision Science and Operations Management of Solar Energy Systems by Vikas Khare,Cheshta J. Khare,Savita Nema,Prashant Baredar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Renewable Power Resources. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780323856409

Topic

Technology & Engineering

Subtopic

Renewable Power Resources

Index

Technology & Engineering

Cover Image
Title Page
Copyright
Table of Contents
Chapter 1 Fundamental and basic principles
Chapter 2 Data visualization and descriptive statistics of solar energy system
Chapter 3 Facilities location and plant layout of solar energy system
Chapter 4 Productivity and manufacturing economics of solar energy system
Chapter 5 Assessment of solar energy system by probability and sampling distribution
Chapter 6 Application of regression analysis and forecasting techniques in solar energy system
Chapter 7 Inventory and total quality management of solar energy system
Chapter 8 Case study: Solar–wind hybrid renewable energy system
Chapter 9 Data analysis of solar energy system with Python
Index